
At-the-edge AI acceleration on FPGAs, from CNNs to SNNs
This paper outlines the initial FPGA-centric endeavors within the EdgeAI project, targeting scenarios where extremely constrained power-energy parameters intersect with the demand for high performance and accuracy in executing Artificial Intellige

Comparing implementations of a Small CNN on Commodity Hardware
Presentation detailing our benchmarking of several low cost boards for AI inference on the Edge.
The NN is a small NN that performs 1 channel images classification over 58 categories targeting an industrial application.

Edge AI trends and engineering principles applied to micro, meta, and end-to-end AI system verification, validation, and testing
Edge AI, which refers to the deployment of edge computing and artificial intelligence (AI) models and algorithms on edge devices like IoT devices and embedded systems, is rapidly evolving with several emerging trends and engineering principles app

EdgeAI

Automotive Intelligence - Edge AI, Hardware and Software Integration
The automotive industry faces
unprecedented challenges, such as
climate change, reducing emissions,
global competition, and rapidly evolving
technologies such as digitalisation

Automatic Checkerboard Corner Detection and Data Processing Tool



Loremipsum-TEST
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Negat esse eam, inquit, propter se expetendam. Primum Theophrasti, Strato, physicum se voluit; Id mihi magnum videtur.

Webinar Towards Transparent, Safe and Trustworthy AI for critical infrastructures
This webinar focuses on the development of safe, explainable, and algorithmically transparent methods as part of the AI4REALNET project.

Webinar "Towards Transparent, Safe and Trustworthy AI for critical infrastructures"


